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Controlling best response dynamics for network games

Fazli, M ; Sharif University of Technology | 2018

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  1. Type of Document: Article
  2. DOI: 10.1109/TNSE.2018.2814590
  3. Publisher: IEEE Computer Society , 2018
  4. Abstract:
  5. Controlling networked dynamical systems is a complex endeavor, specifically keeping in mind the fact that in many scenarios the actors that are engaged in the dynamism behave selfishly and therefore only take into account their own individual utility, a setting that has been widely studied in the field of game theory. One way that we can control the system dynamics is through the use of control parameters that are at our disposal, but finding optimal values for these parameters is a complex and time consuming task. In this paper we use the relation between network structural properties and control parameters to create a mathematical model that uses learning methods to find optimal values that can control the system dynamics based on the correlation that exists between structurally similar networks. IEEE
  6. Keywords:
  7. Best response dynamics ; Computational modeling ; Control Problems ; Control systems ; Game theory ; Games ; Heuristics ; Linear programming ; Machine learning ; Mathematical model ; Networks ; Optimization
  8. Source: IEEE Transactions on Network Science and Engineering ; March , 2018 ; 23274697 (ISSN)
  9. URL: https://ieeexplore.ieee.org/document/8314092